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Predicting absenteeism with a novel time-series framework reveals that traditional methods miss critical sequential patterns, leading to significant improvements in accuracy.
Aggregating moral judgments can obscure critical individual perspectives, but modeling these differences reveals deeper insights into moral classification.
